{"title":"莫桑比克索法拉省 \"伊代 \"气旋后基础设施破坏与疟疾风险之间的关系:一项生态研究。","authors":"Calder Glowac, João L Ferrão, Kelly M Searle","doi":"10.1186/s12936-024-05164-x","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>In April 2019, Mozambique was hit by Cyclone Idai leaving substantial damage to infrastructure and nearly two million people in need of humanitarian assistance. Malaria risk has been associated with living in a rural setting, vicinity to water, and household structure, all factors which are impacted by severe storms. This study quantified the association between damage to infrastructure (health care facilities and schools) following Cyclone Idai and malaria outcomes: malaria incidence, severe malaria, and administration of intermittent preventative treatment in pregnancy (IPTp) in Sofala Province, Mozambique.</p><p><strong>Methods: </strong>To quantify infrastructure damage, historical satellite imagery was assessed visually using Google Earth Pro<sup>®</sup>. Damage to 66 school and 105 health centres was assessed for severity and duration. Location data was imported to QGIS and joined with district level data on malaria outcomes and environmental covariates. Multivariable Poisson regression models were used to quantify the associations between facility damage and malaria incidence and severe malaria. Generalized linear models were used to determine the association between facility damage and changes in malaria incidence and administration of IPTp from 2018 to 2019.</p><p><strong>Results: </strong>An increase in facility damage was associated with an increase in malaria incidence and severe malaria. An increase in proportion of facilities damaged by 10% was associated with a 7.3% (95% CI 6.8-7.8%) increase in malaria incidence. Risk of severe malaria was 2.16 (95% CI 1.42-3.32) times higher in districts with any damage compared to those with no damage. However, proportional facility damage was associated with decreased malaria incidence and increased access to IPTp from 2018 to 2019, but these were not statistically significant.</p><p><strong>Conclusion: </strong>An increase in proportion of facilities damaged following Cyclone Idai was associated with increased risk of malaria and severe malaria at the district level. This may be a function of decreased access to healthcare and an increased exposure to risk factors for malaria. A non-statistically significant decrease in malaria incidence was also found at the district level from 2018 to 2019, indicating that malaria may have been underreported in 2019, likely again a function of decreased access to healthcare.</p>","PeriodicalId":18317,"journal":{"name":"Malaria Journal","volume":"23 1","pages":"355"},"PeriodicalIF":2.4000,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11585145/pdf/","citationCount":"0","resultStr":"{\"title\":\"The association between infrastructure damage in the aftermath of Cyclone Idai and malaria risk in Sofala Province, Mozambique: an ecological study.\",\"authors\":\"Calder Glowac, João L Ferrão, Kelly M Searle\",\"doi\":\"10.1186/s12936-024-05164-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>In April 2019, Mozambique was hit by Cyclone Idai leaving substantial damage to infrastructure and nearly two million people in need of humanitarian assistance. Malaria risk has been associated with living in a rural setting, vicinity to water, and household structure, all factors which are impacted by severe storms. This study quantified the association between damage to infrastructure (health care facilities and schools) following Cyclone Idai and malaria outcomes: malaria incidence, severe malaria, and administration of intermittent preventative treatment in pregnancy (IPTp) in Sofala Province, Mozambique.</p><p><strong>Methods: </strong>To quantify infrastructure damage, historical satellite imagery was assessed visually using Google Earth Pro<sup>®</sup>. Damage to 66 school and 105 health centres was assessed for severity and duration. Location data was imported to QGIS and joined with district level data on malaria outcomes and environmental covariates. Multivariable Poisson regression models were used to quantify the associations between facility damage and malaria incidence and severe malaria. Generalized linear models were used to determine the association between facility damage and changes in malaria incidence and administration of IPTp from 2018 to 2019.</p><p><strong>Results: </strong>An increase in facility damage was associated with an increase in malaria incidence and severe malaria. An increase in proportion of facilities damaged by 10% was associated with a 7.3% (95% CI 6.8-7.8%) increase in malaria incidence. Risk of severe malaria was 2.16 (95% CI 1.42-3.32) times higher in districts with any damage compared to those with no damage. However, proportional facility damage was associated with decreased malaria incidence and increased access to IPTp from 2018 to 2019, but these were not statistically significant.</p><p><strong>Conclusion: </strong>An increase in proportion of facilities damaged following Cyclone Idai was associated with increased risk of malaria and severe malaria at the district level. This may be a function of decreased access to healthcare and an increased exposure to risk factors for malaria. A non-statistically significant decrease in malaria incidence was also found at the district level from 2018 to 2019, indicating that malaria may have been underreported in 2019, likely again a function of decreased access to healthcare.</p>\",\"PeriodicalId\":18317,\"journal\":{\"name\":\"Malaria Journal\",\"volume\":\"23 1\",\"pages\":\"355\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2024-11-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11585145/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Malaria Journal\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12936-024-05164-x\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"INFECTIOUS DISEASES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Malaria Journal","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12936-024-05164-x","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
引用次数: 0
摘要
背景:2019 年 4 月,莫桑比克遭受 "伊代 "气旋袭击,基础设施遭到严重破坏,近 200 万人需要人道主义援助。疟疾风险与生活在农村环境、水源附近和家庭结构有关,这些因素都会受到强风暴的影响。本研究量化了 "伊达伊 "气旋对基础设施(医疗设施和学校)造成的破坏与疟疾结果之间的关系:莫桑比克索法拉省的疟疾发病率、重症疟疾和妊娠间歇预防性治疗(IPTp):为了量化基础设施受损情况,我们使用 Google Earth Pro® 对历史卫星图像进行了直观评估。对 66 所学校和 105 个医疗中心的受损严重程度和持续时间进行了评估。位置数据被导入 QGIS,并与疟疾结果和环境协变量的地区级数据相结合。多变量泊松回归模型用于量化设施损坏与疟疾发病率和重症疟疾之间的关系。使用广义线性模型确定设施损坏与疟疾发病率变化以及2018年至2019年IPTp施用量之间的关联:结果:设施损坏程度的增加与疟疾发病率和重症疟疾发病率的增加有关。设施受损比例每增加 10%,疟疾发病率就会增加 7.3%(95% CI 6.8-7.8%)。与没有损坏的地区相比,有任何损坏的地区发生重症疟疾的风险要高出 2.16 倍(95% CI 1.42-3.32)。然而,从2018年到2019年,设施受损比例与疟疾发病率下降和IPTp使用率增加有关,但在统计学上并不显著:结论:"伊代 "气旋过后,设施受损比例的增加与疟疾和严重疟疾在地区一级的发病风险增加有关。这可能是由于获得医疗保健的机会减少以及疟疾风险因素增加所致。从2018年到2019年,地区一级的疟疾发病率也出现了非统计意义上的显著下降,这表明2019年疟疾可能被低报,这可能也是医疗保健服务减少的结果。
The association between infrastructure damage in the aftermath of Cyclone Idai and malaria risk in Sofala Province, Mozambique: an ecological study.
Background: In April 2019, Mozambique was hit by Cyclone Idai leaving substantial damage to infrastructure and nearly two million people in need of humanitarian assistance. Malaria risk has been associated with living in a rural setting, vicinity to water, and household structure, all factors which are impacted by severe storms. This study quantified the association between damage to infrastructure (health care facilities and schools) following Cyclone Idai and malaria outcomes: malaria incidence, severe malaria, and administration of intermittent preventative treatment in pregnancy (IPTp) in Sofala Province, Mozambique.
Methods: To quantify infrastructure damage, historical satellite imagery was assessed visually using Google Earth Pro®. Damage to 66 school and 105 health centres was assessed for severity and duration. Location data was imported to QGIS and joined with district level data on malaria outcomes and environmental covariates. Multivariable Poisson regression models were used to quantify the associations between facility damage and malaria incidence and severe malaria. Generalized linear models were used to determine the association between facility damage and changes in malaria incidence and administration of IPTp from 2018 to 2019.
Results: An increase in facility damage was associated with an increase in malaria incidence and severe malaria. An increase in proportion of facilities damaged by 10% was associated with a 7.3% (95% CI 6.8-7.8%) increase in malaria incidence. Risk of severe malaria was 2.16 (95% CI 1.42-3.32) times higher in districts with any damage compared to those with no damage. However, proportional facility damage was associated with decreased malaria incidence and increased access to IPTp from 2018 to 2019, but these were not statistically significant.
Conclusion: An increase in proportion of facilities damaged following Cyclone Idai was associated with increased risk of malaria and severe malaria at the district level. This may be a function of decreased access to healthcare and an increased exposure to risk factors for malaria. A non-statistically significant decrease in malaria incidence was also found at the district level from 2018 to 2019, indicating that malaria may have been underreported in 2019, likely again a function of decreased access to healthcare.
期刊介绍:
Malaria Journal is aimed at the scientific community interested in malaria in its broadest sense. It is the only journal that publishes exclusively articles on malaria and, as such, it aims to bring together knowledge from the different specialities involved in this very broad discipline, from the bench to the bedside and to the field.